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KDD
2007
ACM
184views Data Mining» more  KDD 2007»
16 years 1 months ago
Dynamic hybrid clustering of bioinformatics by incorporating text mining and citation analysis
To unravel the concept structure and dynamics of the bioinformatics field, we analyze a set of 7401 publications from the Web of Science and MEDLINE databases, publication years 1...
Bart De Moor, Frizo A. L. Janssens, Wolfgang Gl&au...
119
Voted
IEEEVAST
2010
14 years 7 months ago
Finding and visualizing relevant subspaces for clustering high-dimensional astronomical data using connected morphological opera
Data sets in astronomy are growing to enormous sizes. Modern astronomical surveys provide not only image data but also catalogues of millions of objects (stars, galaxies), each ob...
Bilkis J. Ferdosi, Hugo Buddelmeijer, Scott Trager...
ECCV
1994
Springer
16 years 2 months ago
Recursive Affine Structure and Motion from Image Sequences
Abstract. This paper presents a new algorithm for structure from motion from an arbitrary number of tracked features over an arbitrary number of images, which possesses several adv...
Philip F. McLauchlan, Ian D. Reid, David W. Murray
114
Voted
TC
2008
15 years 20 days ago
Automatic Generation of Modular Multipliers for FPGA Applications
Since redundant number systems allow for constant time addition, they are often at the heart of modular multipliers designed for public key cryptography (PKC) applications. Indeed,...
Jean-Luc Beuchat, Jean-Michel Muller
103
Voted
CVPR
2006
IEEE
16 years 2 months ago
Spectral Methods for Automatic Multiscale Data Clustering
Spectral clustering is a simple yet powerful method for finding structure in data using spectral properties of an associated pairwise similarity matrix. This paper provides new in...
Arik Azran, Zoubin Ghahramani